Gen AI Intern - Local to Chicago ONLY!

Job Title: Generative AI Intern

Location: Chicago, IL (On-site / Hybrid)
Duration: Internship (3 6 months)
Availability: Must reside in the Chicago area and possess a valid U.S. driver s license

About the Role

We are seeking a highly motivated Generative AI Intern to join our AI Engineering team in Chicago. The ideal candidate will bring hands-on experience in developing, deploying, and managing machine learning models, along with a strong understanding of generative AI architectures and MLOps best practices. You ll work closely with our engineers and product teams to prototype, fine-tune, and operationalize cutting-edge AI models for real-world applications.

Key Responsibilities

• Develop, fine-tune, and deploy Generative AI models (e.g., LLMs, diffusion models, transformers) for various business use cases.
• Manage end-to-end ML model lifecycle from experimentation and training to deployment and monitoring.
• Design and implement APIs and integration pipelines to connect AI models with applications and workflows.
• Leverage GPU-accelerated environments for model training and optimization.
• Utilize cloud services (AWS, Azure, Google Cloud Platform) and containerization tools (Docker, Kubernetes) for scalable model deployment.
• Implement MLOps pipelines for CI/CD, model versioning, monitoring, and performance tracking.
• Collaborate cross-functionally to test, evaluate, and refine AI solutions aligned with product goals.

Required Skills & Qualifications

• Proven experience deploying and managing machine learning models in production.
• Strong Python programming skills, including proficiency with libraries such as PyTorch, TensorFlow, or Hugging Face.
• Demonstrated experience with API development (Flask, FastAPI, or similar frameworks).
• In-depth knowledge of Generative AI architectures (transformers, diffusion models, LLM fine-tuning, etc.) and GPU systems.
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes).
• Experience using MLOps frameworks such as MLflow, Kubeflow, DVC, or Vertex AI.
• Excellent problem-solving, documentation, and communication skills.
• Must be based in the Chicago area and possess a valid driver s license for occasional client or site visits.

Preferred Qualifications

• Coursework or hands-on projects in AI/ML, Data Engineering, or Computer Vision/NLP.
• Prior experience contributing to open-source AI projects or Hackathons.
• Familiarity with LangChain, LlamaIndex, or vector database technologies (e.g., Pinecone, FAISS).
• Strong interest in exploring agentic AI, RAG pipelines, and multimodal model integration.